ComeOnOliver
- 4.8k skills
- 0 followers
- 61 repo stars
- 2 weeks ago last updated
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- ▌ Analyzing Projects · comeonoliver bundleAnalyzes codebases to understand structure, tech stack, patterns, and conventions. Use when onboarding to a new project, exploring unfamiliar code, or when asked "how does this work?" or "what's the architecture?"
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- ▌ Tracking Service Reliability · comeonoliverDefine and track SLAs, SLIs, and SLOs for service reliability including availability, latency, and error rates. Use when establishing reliability targets or monitoring service health. Trigger with phrases like "define SLOs", "track SLI metrics", or "calculate error budget".
- ▌ Frontend Mobile Development Component Scaffold · comeonoliverReact/React Native Component Scaffolding
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- ▌ Running Clustering Algorithms · comeonoliverAnalyze datasets by running clustering algorithms (K-means, DBSCAN, hierarchical) to identify data groups. Use when requesting "run clustering", "cluster analysis", or "group data points". Trigger with relevant phrases based on skill purpose.
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- ▌ Building Classification Models · comeonoliverBuild and evaluate classification models for supervised learning tasks with labeled data. Use when requesting "build a classifier", "create classification model", or "train classifier". Trigger with relevant phrases based on skill purpose.
- ▌ Performing Regression Analysis · comeonoliverExecute this skill empowers AI assistant to perform regression analysis and modeling using the regression-analysis-tool plugin. it analyzes datasets, generates appropriate regression models (linear, polynomial, etc.), validates the models, and provides performa... Use when analyzing code or data. Trigger with phrases like 'analyze', 'review', or 'examine'.
- ▌ Setting Up Distributed Tracing · comeonoliverExecute this skill automates the setup of distributed tracing for microservices. it helps developers implement end-to-end request visibility by configuring context propagation, span creation, trace collection, and analysis. use this skill when the user re... Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.
- ▌ Setting Up Experiment Tracking · comeonoliverImplement machine learning experiment tracking using MLflow or Weights & Biases. Configures environment and provides code for logging parameters, metrics, and artifacts. Use when asked to "setup experiment tracking" or "initialize MLflow". Trigger with relevant phrases based on skill purpose.
- ▌ Validating Performance Budgets · comeonoliverValidate application performance against defined budgets to identify regressions early. Use when checking page load times, bundle sizes, or API response times against thresholds. Trigger with phrases like "validate performance budget", "check performance metrics", or "detect performance regression".
- ▌ Application Performance Performance Optimization · comeonoliverOptimize application performance end-to-end using specialized performance and optimization agents:
- ▌ Aggregating Performance Metrics · comeonoliverAggregate and centralize performance metrics from applications, systems, databases, caches, and services. Use when consolidating monitoring data from multiple sources. Trigger with phrases like "aggregate metrics", "centralize monitoring", or "collect performance data".
- ▌ Building Recommendation Systems · comeonoliverExecute this skill empowers AI assistant to construct recommendation systems using collaborative filtering, content-based filtering, or hybrid approaches. it analyzes user preferences, item features, and interaction data to generate personalized recommendations... Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.
- ▌ Generating Conventional Commits · comeonoliverExecute generates conventional commit messages using AI. It analyzes code changes and suggests a commit message adhering to the conventional commits specification. Use this skill when you need help writing clear, standardized commit messages, especially a... Use when managing version control. Trigger with phrases like 'commit', 'branch', or 'git'.
- ▌ Optimizing Deep Learning Models · comeonoliverOptimize deep learning models using Adam, SGD, and learning rate scheduling to improve accuracy and reduce training time. Use when asked to "optimize deep learning model" or "improve model performance". Trigger with phrases like 'optimize', 'performance', or 'speed up'.
- ▌ Setting Up Synthetic Monitoring · comeonoliverSetup synthetic monitoring for proactive performance tracking including uptime checks, transaction monitoring, and API health. Use when implementing availability monitoring or tracking critical user journeys. Trigger with phrases like "setup synthetic monitoring", "monitor uptime", or "configure health checks".
- ▌ Processing Computer Vision Tasks · comeonoliverProcess images using object detection, classification, and segmentation. Use when requesting "analyze image", "object detection", "image classification", or "computer vision". Trigger with relevant phrases based on skill purpose.
- ▌ Training Machine Learning Models · comeonoliverBuild train machine learning models with automated workflows. Analyzes datasets, selects model types (classification, regression), configures parameters, trains with cross-validation, and saves model artifacts. Use when asked to "train model" or "evalua... Trigger with relevant phrases based on skill purpose.
- ▌ Microsoft Azure Webjobs Extensions Authentication Events Dot · comeonoliverMicrosoft.Azure.WebJobs.Extensions.AuthenticationEvents (.NET)
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- ▌ Adapting Transfer Learning Models · comeonoliverBuild this skill automates the adaptation of pre-trained machine learning models using transfer learning techniques. it is triggered when the user requests assistance with fine-tuning a model, adapting a pre-trained model to a new dataset, or performing... Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.
- ▌ Collecting Infrastructure Metrics · comeonoliverCollect comprehensive infrastructure performance metrics across compute, storage, network, containers, load balancers, and databases. Use when monitoring system performance or troubleshooting infrastructure issues. Trigger with phrases like "collect infrastructure metrics", "monitor server performance", or "track system resources".
- ▌ Deploying Machine Learning Models · comeonoliverDeploy this skill enables AI assistant to deploy machine learning models to production environments. it automates the deployment workflow, implements best practices for serving models, optimizes performance, and handles potential errors. use this skill when th... Use when deploying or managing infrastructure. Trigger with phrases like 'deploy', 'infrastructure', or 'CI/CD'.
- ▌ Detecting Performance Bottlenecks · comeonoliverExecute this skill enables AI assistant to detect and resolve performance bottlenecks in applications. it analyzes cpu, memory, i/o, and database performance to identify areas of concern. use this skill when you need to diagnose slow application performance, op... Use when optimizing performance. Trigger with phrases like 'optimize', 'performance', or 'speed up'.
- ▌ Detecting Performance Regressions · comeonoliverAutomatically detect performance regressions in CI/CD pipelines by comparing metrics against baselines. Use when validating builds or analyzing performance trends. Trigger with phrases like "detect performance regression", "compare performance metrics", or "analyze performance degradation".
- ▌ Implementing Real User Monitoring · comeonoliverImplement Real User Monitoring (RUM) to capture actual user performance data including Core Web Vitals and page load times. Use when setting up user experience monitoring or tracking custom performance events. Trigger with phrases like "setup RUM", "track Core Web Vitals", or "monitor real user performance".
- ▌ Profiling Application Performance · comeonoliverExecute this skill enables AI assistant to profile application performance, analyzing cpu usage, memory consumption, and execution time. it is triggered when the user requests performance analysis, bottleneck identification, or optimization recommendations. the... Use when optimizing performance. Trigger with phrases like 'optimize', 'performance', or 'speed up'.